#amazon_kinesis — Public Fediverse posts

クラスメソッド データアナリティクス通信(AWSデータ分析編) – 2025年5月号
https://dev.classmethod.jp/articles/cm-news-analytics-202505/

#dev_classmethod #AWS #SageMaker_Unified_Studio #SageMaker_Lakehouse #Amazon_Redshift #Amazon_Redshift_Serverless #Amazon_QuickSight #Amazon_Q_in_QuickSight #AWS_Glue #Amazon_Kinesis #Kinesis_Data_Streams #AWS_Clean_Rooms #Amazon_OpenSearch_Service #Amazon_OpenSearch_Serverless

クラスメソッド データアナリティクス通信(AWSデータ分析編) – 2024年11月号
https://dev.classmethod.jp/articles/cm-news-analytics-202411/

#dev_classmethod #AWS #Amazon_Redshift #Amazon_Redshift_Serverless #AWS_Glue #Amazon_QuickSight #Amazon_DataZone #AWS_Clean_Rooms #Amazon_OpenSearch_Service #Amazon_OpenSearch_Serverless #Amazon_MWAA #Amazon_EMR #Amazon_Kinesis

DynamoDB, Kinesis, and Lambda are great tools for setting up a highly scalable, serverless, event-driven API pipeline that can handle huge traffic with ease and stay resilient with granular fault tolerance. In this article I talk about how to work with the tools, taking advantage of retries and dead-letter queues to tame the chaos in your distributed system.

https://commerce.nearform.com/blog/2024/serverless-event-driven-apis-with-aws-kinesis

#eventdriven_architecture #amazon_kinesis

クラスメソッド データアナリティクス通信(AWSデータ分析編) – 2024年10月号
https://dev.classmethod.jp/articles/cm-news-analytics-202410/

#dev_classmethod #AWS #Amazon_Redshift #Amazon_Redshift_Serverless #Amazon_QuickSight #AWS_Glue #Amazon_QuickSight_Q #Amazon_Kinesis #Amazon_MSK #Amazon_DataZone #Amazon_OpenSearch_Service #Amazon_EMR